Graphics

About: Graphics is a research topic. Over the lifetime, 17394 publications have been published within this topic receiving 411468 citations. The topic is also known as: graphic.

Video distribution system

Abstract: An interactive video services system for enabling store and forward distribution of digitized video programming comprising merged graphics and video data from a minimum of two separate data storage devices is disclosed. In a departure from the art, an MPEG converter operating in tandem with an MPEG decoder device that has buffer capacity merges encoded and compressed digital video signals stored in a memory of a video server with digitized graphics generated by and stored in a memory of a systems control computer. The merged signals are then transmitted to and displayed on a TV set connected to the system. In this manner, multiple computers are able to transmit graphics or multimedia data to a video server to be displayed on the TV set or to be superimposed onto video programming that is being displayed on the TV set.

WireGL: a scalable graphics system for clusters

Abstract: We describe WireGL, a system for scalable interactive rendering on a cluster of workstations. WireGL provides the familiar OpenGL API to each node in a cluster, virtualizing multiple graphics accelerators into a sort-first parallel renderer with a parallel interface. We also describe techniques for reassembling an output image from a set of tiles distributed over a cluster. Using flexible display management, WireGL can drive a variety of output devices, from standalone displays to tiled display walls. By combining the power of virtual graphics, the familiarity and ordered semantics of OpenGL, and the scalability of clusters, we are able to create time-varying visualizations that sustain rendering performance over 70,000,000 triangles per second at interactive refresh rates using 16 compute nodes and 16 rendering nodes.

The world is not a desktop

Abstract: What is the metaphor for the computer of the future? The intelligent agent? The television (multimedia)? The 3-D graphics world (virtual reality)? The StarTrek ubiquitous voice computer? The GUI desktop, honed and refined? The machine that magically grants our wishes? I think the right answer is "none of the above", because I think all of these concepts share a basic flaw: they make the computer visible.

Clustering in an object-oriented environment

Abstract: This paper describes the incorporation of seven stand-alone clustering programs into S-PLUS, where they can now be used in a much more flexible way. The original Fortran programs carried out new cluster analysis algorithms introduced in the book of Kaufman and Rousseeuw (1990). These clustering methods were designed to be robust and to accept dissimilarity data as well as objects-by-variables data. Moreover, they each provide a graphical display and a quality index reflecting the strength of the clustering. The powerful graphics of S-PLUS made it possible to improve these graphical representations considerably. The integration of the clustering algorithms was performed according to the object-oriented principle supported by S-PLUS. The new functions have a uniform interface, and are compatible with existing S-PLUS functions. We will describe the basic idea and the use of each clustering method, together with its graphical features. Each function is briefly illustrated with an example.